Table 1.

Summary of hospitalizations for diabetes mellitus and daily mean temperature (with standard deviations) by region in 1,814 Brazilian cities during the 2000–2015 hot seasons.

Region	Enrolled cities	Population coverage (%)	Cases of different types of diabetes mellitus						Temperature ($\text{mean \hspace{0.17em}}\pm \text{SD}$) (°C)
			Type 1 (E10)	Type 2 (E11)	Malnutrition related (E12)	Other specified (E13)	Unspecified (E14)	Total (E10–E14)
National	1,814	78.4%	171,520	37,912	7,504	35,350	301,065	553,351	$25.3\pm 2.7$
North	28	26.3%	3,310	1,256	75	1,847	7,569	14,057	$27.7\pm 1.5$
Northeast	662	78.0%	46,801	8,311	2,170	8,836	90,888	157,006	$27.1\pm 1.9$
Central west	128	80.7%	16,796	4,140	712	5,227	22,666	49,541	$26.3\pm 2.1$
Southeast	622	87.0%	74,052	17,910	2,449	10,132	126,680	231,223	$24.2\pm 2.2$
South	374	83.2%	30,561	6,295	2,098	9,308	53,262	101,524	$23.4\pm 2.6$
Female (%)	—	—	56.8	56.6	58.6	58.1	58.0	57.5	—
Age, median (IQR)	—	—	59.5	61.7	61.5	60.9	60.8	60.5	—
	—	—	(45.4–70.7)	(50.3–72.2)	(49.4–72.0)	(49.1–71.3)	(48.3–71.6)	(47.7–71.3)	—

Note: Hot season was defined as the city-specific adjacent 4 hottest months and varied by city (e.g., December to March for São Paulo, August to November for Manaus). Population coverage was calculated as the total population in included cities divided by the national (or regional) total population, according to population data from Brazilian Census 2010 (BIGS 2010). E10–E14 are ICD-10 codes of diabetes. The bottom row in Table represents interquartile range (IQR) of age. —, no data; IQR, interquartile range; SD, standard deviation.